Predicting Mobility as a Service (MaaS) use for different trip categories: An artificial neural network analysis

Author:

Duan Sophia Xiaoxia,Tay Richard,Molla Alemayehu,Deng Hepu

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering,Business, Management and Accounting (miscellaneous),Aerospace Engineering

Reference66 articles.

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3. Mobility as a service and sustainable travel behaviour: A thematic analysis study;Alyavina;Transp. Res. Part F: Traffic Psychol. Behav.,2020

4. Smartphone habit and behaviour in Brunei: Personalization, gender, and generation gap;Anshari;Comput. Hum. Behav.,2016

5. The Ws of MaaS: Understanding mobility as a service from a literature review;Arias-Molinares;IATSS Res.,2020

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